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机译:半经验中医学图像分割的转型 - 一致的自我合奏模型
Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China|Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA;
Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China|Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA;
Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China;
Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China;
Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA;
Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China|Chinese Acad Sci Shenzhen Inst Adv Technol Guangdong Hong Kong Macao Joint Lab Human Machine Shenzhen 518055 Peoples R China;
Image segmentation; Biomedical imaging; Skin; Liver; Task analysis; Lesions; Computed tomography; Liver segmentation; optic disk (OD) segmentation; self-ensembling; semisupervised learning; skin lesion segmentation;
机译:无监督域适应医学成像分割与自我合奏
机译:具有关系驱动的自我合奏模型的半监督医学图像分类
机译:图像集合的半监督分割模型
机译:半监督3D左心房分割的不确定度自组装模型
机译:以用户为中心的医学图像交互式分割方法的设计和评估=以用户为中心的医学图像交互式分割方法的设计和评估
机译:一种基于主动形状模型和定向霍夫变换的分层方法用于分割嘈杂的生物医学图像;在骨盆X线图像分割中的应用
机译:半经验中医学图像分割的转型 - 一致的自我合奏模型